Michael Jenkin

Michael Jenkin is a Professor of Computer Science and Engineering at York University's Lassonde School of Engineering, affiliated with the Centre for Vision Research. His research focuses on visually guided robotics, immersive displays, and human-machine interaction. He has contributed over 150 publications and co-authored seminal works in mobile robotics and human/machine vision.

Current projects include the amphibious AQUA robot collaboration with Dalhousie/McGill, crime scene investigation tools, and microgravity perception studies. His work bridges robotics, computer vision, and neuroscience with applications in healthcare robotics, virtual reality therapy, and environmental monitoring.

Research emphasizes multimodal sensing (visual-tactile integration), autonomous navigation systems, and energy-efficient communication networks. He leads development of haptic interfaces for medical training, robotic teleoperation systems, and perception models for challenging environments like underwater/microgravity conditions.

Notable contributions include the Ansel photobot, visuotactile sensor frameworks, and reinforcement learning approaches for network optimization. His lab explores both theoretical advancements and practical implementations across robotics, VR/AR, and biomedical engineering domains.